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Analytics Solutions Leader

2 weeks ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview

We are seeking a results-driven leader to spearhead our data analytics efforts, driving data-led decision-making across various domains. The ideal candidate will have a proven track record of leading analytics teams, building predictive models, designing personalization frameworks, and delivering measurable business impact through insights and automation.

Main Responsibilities

  • Lead and mentor the Data Analytics team to deliver actionable insights and measurable business outcomes.
  • Drive revenue growth through data-driven strategies, including offer optimization, personalization, and retention initiatives.
  • Design and implement A/B experiments to optimize user journeys and conversion funnels.
  • Build and deploy machine learning models for user segmentation, churn prediction, demand forecasting, and personalized recommendations.
  • Develop scalable data frameworks for cohort-based analytics, KPI dashboards, and real-time alerts.
  • Partner with Product, Marketing, and Business teams to translate analytical insights into impactful strategies.

Technical Skills & Requirements

  • Minimum 5 years of experience in Data Analytics, with at least 3 years in a leadership role.
  • Proficiency in Python and SQL for data manipulation and modeling.
  • Experience with analytical tools such as Adobe Analytics, Omniture, and Jupyter Notebook.
  • Expertise in data visualization tools - Tableau, Power BI, QlikView, or similar.
  • Strong knowledge of statistics and experimentation (A/B testing, hypothesis testing).
  • Familiarity with machine learning techniques regression, clustering, classification, time series forecasting.
  • Experience in building personalization and recommendation systems.

Preferred Qualifications

  • Background in gaming, e-commerce, or payments analytics.
  • Proven track record in driving revenue uplift and retention improvement through data-led initiatives.
  • Hands-on experience in building scalable analytics products and automation frameworks.
  • Strong stakeholder management and communication skills, including working with senior leadership.